Journal article
Diagnostic Accuracy of a Device for the Automated Detection of Diabetic Retinopathy in a Primary Care Setting
Diabetes care, Vol.42(4), pp.651-656
04/2019
DOI: 10.2337/dc18-0148
PMID: 30765436
Abstract
To determine the diagnostic accuracy in a real-world primary care setting of a deep learning-enhanced device for automated detection of diabetic retinopathy (DR).
Retinal images of people with type 2 diabetes visiting a primary care screening program were graded by a hybrid deep learning-enhanced device (IDx-DR-EU-2.1; IDx, Amsterdam, the Netherlands), and its classification of retinopathy (vision-threatening [vt]DR, more than mild [mtm]DR, and mild or more [mom]DR) was compared with a reference standard. This reference standard consisted of grading according to the
by the Rotterdam Study reading center. We determined the diagnostic accuracy of the hybrid deep learning-enhanced device (IDx-DR-EU-2.1) against the reference standard.
A total of 1,616 people with type 2 diabetes were imaged. The hybrid deep learning-enhanced device's sensitivity/specificity against the reference standard was, respectively, for vtDR 100% (95% CI 77.1-100)/97.8% (95% CI 96.8-98.5) and for mtmDR 79.4% (95% CI 66.5-87.9)/93.8% (95% CI 92.1-94.9).
The hybrid deep learning-enhanced device had high diagnostic accuracy for the detection of both vtDR (although the number of vtDR cases was low) and mtmDR in a primary care setting against an independent reading center. This allows its' safe use in a primary care setting.
Details
- Title: Subtitle
- Diagnostic Accuracy of a Device for the Automated Detection of Diabetic Retinopathy in a Primary Care Setting
- Creators
- Frank D Verbraak - Department of Ophthalmology, VU Medical Center, Amsterdam, the Netherlands f.verbraak@vumc.nlMichael D Abramoff - IDx, Iowa City, IAGonny C F Bausch - Star-SHL, Rotterdam, the NetherlandsCaroline Klaver - Department of Ophthalmology, Radboud University Medical Center, Rotterdam, the NetherlandsGiel Nijpels - Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the NetherlandsReinier O Schlingemann - Department of Ophthalmology, Amsterdam Medical Center, Amsterdam, the NetherlandsAmber A van der Heijden - Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
- Resource Type
- Journal article
- Publication Details
- Diabetes care, Vol.42(4), pp.651-656
- DOI
- 10.2337/dc18-0148
- PMID
- 30765436
- NLM abbreviation
- Diabetes Care
- ISSN
- 0149-5992
- eISSN
- 1935-5548
- Publisher
- United States
- Language
- English
- Date published
- 04/2019
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984060979802771
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